Popular Articles

A Deep Dive into Data Lakehouses

July 18th, 2024 By Ahmed Shaaban in Data Engineering

The term “Data Lakehouse” is quite common nowadays. The new concept promises to address the failures of data warehouses and data lakes and help support the workloads of both business…

Azure Data Factory Activities: Comprehensive Aspects

June 19th, 2024 By Arsalan Mohammed in Data Strategy

Connecting traditional data warehouses with modern AI and machine learning platforms is essential in today's data-driven world. Data pipelines are crucial in managing and controlling the vast amounts of data…

What is SQL Server Change Tracking and How to Implement It?

May 17th, 2024 By Dimple M K in Database Management System, SQL Server

If you're managing a SQL Server database and need to keep track of changes without the complexity of a full audit trail, SQL Server Change Tracking is a lightweight and…

Amazon Redshift vs Hadoop: Which Is Right for Your Data?

March 29th, 2024 By Sarad Mohanan in Data Warehousing, Redshift, Versus

Apache Hadoop and its map-reduce programming model started the big data revolution back in 2006. The core of the offering was a distributed file system abstraction built over commodity hardware…

Snowflake Arctic: Getting Started with Snowflake’s new LLM

July 5th, 2024 By Rashmi Joshi in Data Warehousing, Snowflake

Snowflake launched its new open-source, “state-of-the-art ” large language model, Snowflake Arctic, in April 2024. The data cloud company announced that the primary idea behind this innovation was to simplify…

Snowpipe Alternatives You Should Consider for Your Data Needs

July 10th, 2024 By Arjun Narayan in Data Integration, Snowflake

While you can use Snowpipe for straightforward and low-complexity data ingestion into Snowflake, Snowpipe alternatives, like Kafka, Spark, and COPY, provide enhanced capabilities for real-time data processing, scalability, flexibility in…

AWS Glue Catalog: The Complete Guide

August 12th, 2024 By Vishal Agrawal in AWS, Tutorials

Cloud Technology has revolutionized the way businesses manage and process data. Previously, there was a high demand for hardware to store and manage data, but that comes with a cost…

Effortlessly Perform Amazon Redshift to Redshift Data Migration

May 10th, 2024 By Suraj Kumar Joshi in Data Integration, Redshift

Unlock the full potential of your Redshift data by migrating it seamlessly to another Redshift account. With Hevo’s automated pipeline, get data flowing effortlessly—watch our 1-minute demo below to see…

Data Lake vs Data Warehouse vs Database: Top 5 Differences

September 11th, 2024 By Skand Agrawal in Data Warehousing, Database Management System

1GB of data was referred to as big data in 1999. Nowadays, the term is used for petabytes or even exabytes of data (1024 Petabytes), close to trillions of records…

Redshift SQL Server Integration: Step-by-Step Explanation

April 5th, 2024 By Suraj Kumar Joshi in BigQuery, Data Integration, Redshift

Data migration between different platforms is critical to consider when generating multiple organizational strategies. One such migration involves transferring data from a cloud-based data warehousing service environment to a relational…

The Data Engineering Wrap-Up: 2024’s Biggest Trends

December 19th, 2024 By Sid Lasley in Data Engineering

With the year 2024 nearing its end, it is time to examine the significant trends and advancements that have impacted the field of data engineering. If you’re like me, you’ve…

Dealing with Snowflake Unstructured Data Made Easy

May 10th, 2024 By Sarthak Bhardwaj in Data Warehousing, Snowflake

Structured data is easier to analyze as it can be stored in standard relational database systems. However, businesses that solely rely on structured data are less likely to outshine their…

What Are ETL Pipelines? Steps, Benefits, and Use Cases

January 27th, 2025 By Radhika Gholap in Data Engineering, Data Pipeline

In today’s fast-paced digital landscape, businesses face the daunting challenge of extracting valuable insights from large amounts of data. The ETL (Extract, Transform, Load) pipeline is the backbone of data…

ETL vs Data Ingestion: 6 Critical Differences

April 20th, 2024 By Ratan Kumar in Data Ingestion, Data Strategy, Versus

A fundamental requirement for any data-driven organization is to have a streamlined data delivery mechanism. With organizations collecting data at a rate like never before, devising data pipelines for adequate…

What are Databricks Materialized Views and How to Boost Query Performance Using Them?

November 15th, 2024 By Christina Rini in Data Engineering

Accessing and performing large volumes of data is crucial in data analytics and engineering. As datasets grow larger and more complex, executing queries repeatedly can become a bottleneck, slowing down…

GCP Oracle Migration: Optimize your Workload

June 20th, 2024 By Sarthak Bhardwaj in Data Integration

Oracle is widely used to store, manage, and perform complex operations on data, making it ideal for business-critical operations. You can efficiently scale your business data by hosting Oracle services…

A Comprehensive Guide to Building Snowflake Data Mesh

June 7th, 2024 By Skand Agrawal in Data Warehousing, Snowflake

Data mesh is a novel approach to framing data architecture in a decentralized manner. It enables individual domain teams within your organization to manage and control all tasks related to…

Amazon Redshift Bulk Load: 2 Easy Methods

June 14th, 2024 By Talha in Data Warehousing, Redshift

Are you looking to perform Amazon Redshift bulk load? If yes, you are in the right place! Redshift is Amazon's fully managed, NoOps, low-cost analytics data warehouse in the cloud.…

Kafka Log Compaction: A Comprehensive Guide

May 17th, 2024 By Sarthak Bhardwaj in Data Warehousing, Kafka

Are you confused about what Log Compaction is all about? It is an effective recovery strategy and also to also manage your data log up to a threshold limit. Do…

Databricks vs Airflow: A Comprehensive Comparison

August 28th, 2024 By Arun Chaudhary in Platform, Product

In the evolving world of data engineering, selecting the right tools for data processing and workflow orchestration is crucial for ensuring efficient and scalable operations. Two popular tools in this…